| 来源类型 | Book Section |
| DOI | 10.1007/978-3-319-99951-7_10 |
| Efficient and Sustainable Risk Management in Large Project Portfolios. | |
| Danielson M; Ekenberg L; Zdravkovic, J.; Grabis, J.; Nurcan, S.; Stirna, J. | |
| 发表日期 | 2018 |
| 出处 | Perspectives in Business Informatics Research. Eds. Zdravkovic, J. , Grabis, J. , Nurcan, S. & Stirna, J. , pp. 143-157 Cham: Springer. ISBN 978-3-319-99950-0 DOI: 10.1007/978-3-319-99951-7_10 . |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | In an ever-increasing competitive business environment, it has become increasingly important to be able to obtain efficient and sustainable business operations not only by efficient core procedures but also by being able to minimise losses incurred by risk taking. The latter by handling both operational risks and financial risks in a unified model. This is important not least in businesses that handle sets of simultaneous large projects, which is the topic of risk handling in project portfolios. In this paper, we present a novel method for business risk handling for project portfolios under strong uncertainty. The method is based on event trees representing each adverse consequence modelled, together with mitigation costs and effects. The aggregation of all consequences for all projects together constitutes the risk portfolio for the business. This method is used in one of Sweden’s largest manufacturing enterprises having a vast portfolio of projects in the form of ongoing tenders for orders. |
| 主题 | Risk & ; Resilience (RISK) |
| 关键词 | Efficient risk analysis, Probability theory, Belief distribution, Sustainable risk management |
| URL | http://pure.iiasa.ac.at/id/eprint/15537/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/134649 |
| 推荐引用方式 GB/T 7714 | Danielson M,Ekenberg L,Zdravkovic, J.,et al. Efficient and Sustainable Risk Management in Large Project Portfolios.. 2018. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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